عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Soil erosion and sediment transport occur due to surface runoff and flow in channels and rivers. Sediment input rate into dam reservoirs not only decreases effective volume of reservoirs, but also has non desirable influence on intake structures, gates, stability and water quality. Thus, estimation of sediment transport input into reservoirs is an important factor. Due to complexity and effect of different parameters on erosion and sediment transport Phenomenon, the mathematical simulations of sediment transport have not enough accuracy. In this research, for predicting of solid inflow to reservoir of Shahriar dam firstly, sediment rating curve and classic methods are used. Then, the applicability of data driven and artificial intelligent approaches like feed forward, radial basis, generalized regression neural networks and neuro-fuzzy systems are evaluated. Results indicate the high capability and workability of neural network and neuro fuzzy methods and low accuracy of sediment rating curve and classic methods in simulation of sediment transport rate.